Comp. Psy. 101: The psychology behind high performance computing

Wendy Sharples*, Louis Moresi, Katie Cooper, Patrick Sunter

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Building software which can deliver high performance consistently, across a range of different computer clusters, is a challenging exercise for developers as clusters come with specialized architectures and differing queuing policies and costs. Given that optimal code configuration for a particular model on any machine is difficult for developers and end-users alike to predict, we have developed a test which can provide instructions for optimal code configuration, is instantly comprehensible and does not bombard the user with technical details. This test is in the form of a 'personality type' resonant with users' everyday experience of colleagues in the workplace. A given cluster is deemed suitable for either development and or production and small/composite models and or large/complex ones. To help users of our software to choose an efficient configuration of the code, we convert the personality assessment result into a series of optimization instructions based on their cluster's personality type.

Original languageEnglish
Title of host publicationRecent Progress in Data Engineering and Internet Technology
Pages439-452
Number of pages14
EditionVOL. 2
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventInternational Conference on Data Engineering and Internet Technology, DEIT 2011 - Bali, Indonesia
Duration: 15 Mar 201217 Mar 2012

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 2
Volume157 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Data Engineering and Internet Technology, DEIT 2011
Country/TerritoryIndonesia
CityBali
Period15/03/1217/03/12

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